Data Science

caret

Question 1
Marks : +2 | -2
Pass Ratio : 100%
caret stands for classification and regression training.
True
False
Explanation:
The caret package is a set of functions that attempt to streamline the process for creating predictive models.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Which of the following can be used to generate balanced cross–validation groupings from a set of data?
createFolds
createSample
createResample
none of the mentioned
Explanation:
createResample can be used to make simple bootstrap samples.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function can be used to create balanced splits of the data?
newDataPartition
createDataPartition
renameDataPartition
none of the mentioned
Explanation:
If the y argument to this function is a factor, the random sampling occurs within each class and should preserve the overall class distribution of the data.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
Which of the following curve analysis is conducted on each predictor for classification?
NOC
ROC
COC
All of the mentioned
Explanation:
For two class problems, a series of cutoffs is applied to the predictor data to predict the class.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Which of the following can be used to impute data sets based only on information in the training set?
postProcess
preProcess
process
all of the mentioned
Explanation:
This can be done with K-nearest neighbors.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Which of the following model model include a backwards elimination feature selection routine?
MCV
MARS
MCRS
All of the mentioned
Explanation:
MARS stands for Multivariate Adaptive Regression Splines.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function can be used to flag predictors for removal?
searchCorrelation
findCausation
findCorrelation
none of the mentioned
Explanation:
Some models thrive on correlated predictors.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
The function preProcess estimates the required parameters for each operation.
True
False
Explanation:
predict.preProcess is used to apply them to specific data sets.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
Which of the following argument is used to set importance values?
scale
set
value
all of the mentioned
Explanation:
All measures of importance are scaled to have a maximum value of 100.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
The preProcess class can be used for many operations on predictors.
True
False
Explanation:
Operations include centering and scaling.